Senior Technical Program Manager, Chip DevOps and Methodology

About the job

As a Technical Program Manager for Chip DevOps, you will orchestrate the delivery of the foundational engineering environment and drive the execution of a unified silicon design methodology across our engineering organization. You will own the lifecycle of programs that scale our Electronic Design Automation (EDA) toolchains, optimize massive cloud compute grids, and establish standardized, automated workflows.

This is a highly cross-functional role requiring a unique blend of modern cloud infrastructure expertise, semiconductor workflow awareness, and agile program management. You will partner closely with Design, Verification, CAD, and Infrastructure teams to eliminate fragmented workflows, implement standardized methodologies, and ensure a seamless, high-performance environment to build next-generation chips.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Manage programs the definition, standardization, and company-wide adoption of a unified design and verification methodology. Drive alignment on consistent coding standards, automated checks, Process Design Kits (PDK) management, and IP reuse protocols.
• Define, manage, and deliver complex infrastructure and CAD roadmaps, ensuring projects are completed on time, within budget, and with minimal disruption to design timelines.
• Manage programs the deployment, licensing, and scaling of EDA tools (e.g., Synopsys, Cadence, Siemens) across hybrid or fully cloud-based environments, ensuring tool flows strictly adhere to the unified methodology.
• Lead initiatives to optimize compute infrastructure (e.g., high-performance computing clusters, storage, and cloud instances) to handle massive simulation, synthesis, and physical design workloads.
• Drive the strategy and implementation of automated workflows, continuous integration, and continuous verification (CI/CD) pipelines.

Qualifications

Minimum qualifications:

• Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.
• 8 years of experience as a technical program manager or engineering lead.
• Experience driving or supporting unified design/verification methodologies (e.g., standardized UVM frameworks, unified linting/CDC rules, automated regression tracking) or experience with software engineering lifecycle management or Site Reliability Engineering (SRE) principles.
• Experience with the front-to-back silicon design lifecycle (e.g., RTL design, verification, synthesis, STA, place and route, tape-out) or experience in building automation, CI/CD pipelines, and Infrastructure as Code (IaC) environments for engineering workflows.

Preferred qualifications:

• Experience with cloud platforms optimized for High-Performance Computing (HPC), grid computing (e.g., LSF, Slurm), and massive storage architectures.
• Experience managing infrastructure and centralized configuration profiles for EDA tool suites.
• Experience managing complex vendor relationships (EDA vendors, cloud providers) and forecasting infrastructure compute budgets.
• Familiarity with modern infrastructure-as-code (IaC) and automation tools (e.g., Terraform, Ansible, Jenkins, Gitlab CI) adapted for hardware workflows.
• Proficiency in managing infrastructure and CAD roadmaps using Agile, Scrum, or Kanban frameworks tailored for hardware timelines.
• Exceptional ability to translate complex technical infrastructure and methodology needs into clear business/program outcomes for executives and vice versa.